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dc.contributor.advisorBarry L. Vercoe.en_US
dc.contributor.authorAdán, Víctor Gabrielen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciencesen_US
dc.date.accessioned2006-08-25T18:54:47Z
dc.date.available2006-08-25T18:54:47Z
dc.date.copyright2005en_US
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/33896
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005.en_US
dc.descriptionIncludes bibliographical references (p. 153-156).en_US
dc.description.abstractThe problem of creating generative music systems has been approached in different ways, each guided by different goals, aesthetics, beliefs and biases. These generative systems can be divided into two categories: the first is an ad hoc definition of the generative algorithms, the second is based on the idea of modeling and generalizing from preexistent music for the subsequent generation of new pieces. Most inductive models developed in the past have been probabilistic, while the majority of the deductive approaches have been rule based, some of them with very strong assumptions about music. In addition, almost all models have been discrete, most probably influenced by the discontinuous nature of traditional music notation. We approach the problem of inductive modeling of high level musical structures from a dynamical systems and signal processing perspective, focusing on motion per se independently of particular musical systems or styles. The point of departure is the construction of a state space that represents geometrically the motion characteristics of music. We address ways in which this state space can be modeled deterministically, as well as ways in which it can be transformed to generate new musical structures. Thus, in contrast to previous approaches to inductive music structure modeling, our models are continuous and mainly deterministic.en_US
dc.description.abstract(cont.) We also address the problem of extracting a hierarchical representation of music from the state space and how a hierarchical decomposition can become a second source of generalization.en_US
dc.description.statementofresponsibilityby Víctor Gabriel Adán.en_US
dc.format.extent156 p.en_US
dc.format.extent6884570 bytes
dc.format.extent6891087 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectArchitecture. Program In Media Arts and Sciencesen_US
dc.titleHierarchical music structure analysis, modeling and resynthesis : a dynamical systems and signal processing approachen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciencesen_US
dc.identifier.oclc66528410en_US


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